(a) Determine mV and^2 V of voltage V, which is given by
(b) Determine the correlation co efficient of R and V.
4.23 Let the jpdf of X and Y be given by
Determine the mean of Z, equal to (X^2 Y^2 )1/2.
4.27 In a simple frame structure such as the one shown in Figure 4.7, the total hor-
izontal displacement of top storey Y is the sum of the displacements of individual
storeys X 1 and X 2. Assume that X 1 and X 2 are independent and let mX 1 ,mX 2 ,^2 X 1 ,
and^2 X 2 be their respective means and variances.
(a) Find the mean and variance of Y.
(b) Find the correlation co efficient between X 2 and Y. Discuss the result if
- 4.28 Let X 1 ,...,Xn be a set of independent random variables, each of which has a
probability density function (pdf) of the form
Determine the mean and variance of Y, where
116 Fundamentals of Probability and Statistics for Engineers
V
Rr 0 i:
fXY
x;y xy; for 0<x<^1 ;and 0<y<^2 ;
0 ; and elsewhere:
4.24 The productof two randomvariablesXandYoccursfrequentlyin applied
problems.LetZXYand assumethatXandYare independent.Determinethe
mean and varianceofZin terms ofmX,mY,^2 X, and^2 Y.
4.25 LetXX 1 X 2 , andYX 2 X 3. DeterminecorrelationcoefficientXYofX
andYin termsofX 1 ,X 2 , andX 3 whenX 1 ,X 2 , andX 3 are uncorrelated.
4.26 LetXandYbe discreterandomvariableswith joint probabilitymass function
jpmf)given by Table4.1. ShowthatXY0 butXandYare not independent.
Table 4.1 Joint probability mass
function,pXYx,y) for Problem 4.26
yx
101
1 aba
0 b 0 b
1 aba
Note: ab
1
4.
^2 X 2 ^2 X
fXj
xj
1
2 ^1 =^2
ex
(^2) j= 2
; j 1 ; 2 ;...;n; 1<xj< 1 :
Y
Xn
j 1
Xj^2 :